Multi-Head Attention Demystified
About this lesson
Dive deep into the Multi-Head Attention (MHA) mechanism, the powerhouse behind modern Transformer models like BERT and GPT. Learn how MHA enhances traditional Self-Attention by allowing the model to process input simultaneously from multiple subspaces, effectively capturing diverse relationships (such as syntactic structure and semantic connections)
Original Description
Dive deep into the Multi-Head Attention (MHA) mechanism, the powerhouse behind modern Transformer models like BERT and GPT. Learn how MHA enhances traditional Self-Attention by allowing the model to process input simultaneously from multiple subspaces, effectively capturing diverse relationships (such as syntactic structure and semantic connections)
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